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Tier‑1 brand plus a common Data Scientist/Data Engineer title but senior requirement reduces applicant density.
Requires deep data science, ML, and large-scale data engineering skills specific to GTM analytics.
Explicit 8+ years plus advanced ML, data engineering stack, and Master's/PhD requirement.
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Lead development and deployment of advanced AI/ML predictive models and solutions to drive GTM strategy and business growth across Cisco and Splunk.
Architect and optimize scalable, high-quality data infrastructure including data pipelines and integration workflows to support large-scale enterprise data needs.
Collaborate with executive stakeholders and cross-functional teams to identify strategic opportunities and deliver actionable data-driven insights influencing customer acquisition, product adoption, and revenue growth.
8+ years experience in Data Science, Machine Learning, or Advanced Analytics in the technology industry.
Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or related quantitative discipline.
Strong expertise in Python or R, AI/ML frameworks (e.g., TensorFlow), advanced SQL, and big data platforms like Snowflake, Hadoop, or Apache Spark.
Advanced data engineering skills including building scalable ETL/ELT processes and managing data workflows with tools such as Alteryx or equivalent.
Experienced in GTM strategy, Sales Analytics, Revenue Operations or Marketing Analytics, reflecting business context understanding.
Proven leadership skills with experience in leading projects and mentoring data science and engineering teams.
Strong ability to communicate complex analytical insights into executive-level business recommendations with understanding of Responsible AI principles and emerging AI technologies.